> Markdown version of [/jobs/ext/1049935-engineer-azure-ai-platform-terraform-devops](https://www.wearedevelopers.com/jobs/ext/1049935-engineer-azure-ai-platform-terraform-devops). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Engineer Azure AI Platform & Terraform DevOps

- **Company:** Tachyon Technologies
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, System Configuration, DevOps, Log Analysis, Windows PowerShell, Kusto Query Language, Azure Machine Learning, Azure Powershell, AI Platforms, Infrastructure Automation Frameworks, Hashicorp, Terraform
- **Published:** June 15, 2026
- **Apply:** https://www.dice.com/job-detail/a04e6239-5c8e-4606-a1da-51ce0085e29f

## About the Role

* Strong experience in:
 + Terraform (must-have)
 + HashiCorp Terraform Cloud
 + Azure DevOps (CI/CD pipelines)
 * Proficiency in:
 + PowerShell / Azure CLI / KQL
 * Experience working with:
 + Azure AI / ML services
 + Azure OpenAI / Cognitive Services

## Description

Senior Engineer - Azure AI Platform & Terraform DevOps to support enterprise AI initiatives by enabling automated, secure, and scalable infrastructure using Terraform and Azure DevOps.

This role will act as a key technical point of contact for AI teams, translating business and AI requirements into production-ready cloud environments., * Serve as technical POC for AI teams for platform onboarding and environment setup

 * Design and implement Terraform-based infrastructure (IaC) for Azure environments
 * Manage Terraform Cloud (workspaces, state, pipelines)
 * Build and maintain CI/CD pipelines using Azure DevOps integrated with Terraform
 * Automate infrastructure provisioning, deployments, and release workflows
 * Deploy and support AI services (Azure ML, OpenAI, Cognitive Services)
 * Develop automation using PowerShell, Azure CLI, and KQL
 * Configure monitoring using Azure Monitor and Log Analytics
 * Troubleshoot infrastructure, pipeline, and deployment issues


## Related Videos

- [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon)
- [Terraform for Developers](https://www.wearedevelopers.com/videos/3-terraform-for-developers)
- [Bridging AI and Nomad: a Go-based MCP Server for Cluster Control](https://www.wearedevelopers.com/videos/2063-bridging-ai-and-nomad-a-go-based-mcp-server-for-cluster-control)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform)
- [Building Applications with Infrastructure as Code](https://www.wearedevelopers.com/videos/887-building-applications-with-infrastructure-as-code)

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- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
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- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)